Transforming complex data into intelligent AI solutions that solve real business challenges. Experienced in building end-to-end machine learning systems using Python, SQL, TensorFlow, and Hugging Face across healthcare, logistics, and enterprise analytics. Published 3 peer-reviewed research papers with a focus on delivering scalable, impactful AI solutions.
From a foundational Commerce background to leading high-impact machine learning research and deploying production AI systems in healthcare and logistics.
Bachelor of Commerce at Magadh University, Gaya (Dec 2018). Developed strong business domain fundamentals, statistical accounting, and quantitative reasoning.
Pursued a Professional Program in Data Science & AI at 360DigiTMG, gaining hands-on experience in Python, SQL, Machine Learning, Deep Learning, Data Visualization, and real-world industry projects.
Joined 360DigiTMG as a Data Science Intern, where I contributed to end-to-end machine learning projects involving data preprocessing, EDA, feature engineering, and model development. Developed a YOLOv8-based computer vision solution achieving 92.3% mAP and reducing ammonia-related risks by 40%.
Joined AiSPRY as an AI Analyst (Data Scientist). Managed full ML lifecycle across 5+ industry projects using Python, SQL, TensorFlow, and Hugging Face. Authored 3 peer-reviewed research papers in IJISRT (2025).
Continuously expanding my expertise in cutting-edge AI technologies, with a focus on emerging trends in transformer architectures, federated learning, and explainable AI. Aiming to contribute to the next generation of AI solutions that drive meaningful impact in healthcare and beyond.
"I believe in leveraging data-driven insights to create intelligent systems that not only solve complex problems but also enhance human decision-making. My approach combines rigorous statistical analysis, advanced machine learning techniques, and a deep understanding of business contexts to deliver impactful AI solutions."
2+ years of hands-on data science experience building production ML pipelines, computer vision systems, and fine-tuning NLP transformer models.
Comprehensive toolkit spanning machine learning, deep learning, computer vision, natural language processing, and business analytics.
Real-world AI implementations solving complex business challenges in healthcare forecasting, supply chain reverse logistics, and smart farming.
Simulated executive Power BI & Tableau style monitoring panel with real-time KPI metrics and model accuracy visualizations.
Published articles in the International Journal of Innovative Science and Research Technology (IJISRT) documenting original data-driven algorithms.
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2+ years of industry experience · 3 peer-reviewed papers · Full ML lifecycle
Available for full-time Data Scientist & AI Analyst positions, advisory projects, and custom Machine Learning development.